feat: funciones Python para core, cybersecurity, datascience y finance

Agrega funciones Python reutilizables organizadas por dominio:
- core: composicion funcional (pipe, compose, map, filter, reduce, etc.)
- cybersecurity: analisis de amenazas y puertos
- datascience: estadisticas y deteccion de outliers
- finance: indicadores tecnicos y analisis financiero

python/functions/datascience/standardize.md

@@ -0,0 +1,32 @@
+---
+name: standardize
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: pure
+signature: "def standardize(data: list) -> list"
+description: "Estandarizacion Z-score: transforma los datos a media=0 y desviacion=1."
+tags: [statistics, normalization, python]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: [math]
+tested: false
+tests: []
+test_file_path: ""
+file_path: "python/functions/datascience/datascience.py"
+---
+
+## Ejemplo
+
+```python
+standardize([10, 20, 30])
+# [-1.2247..., 0.0, 1.2247...]
+```
+
+## Notas
+
+Si la desviacion estandar es cero, retorna lista de ceros. Usa desviacion poblacional (N, no N-1).